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TGCN-Bert Emoji Prediction in Information Systems Using TCN and GCN Fusing Features Based on BERT
In recent studies, graph convolutional neural networks (GCNs) have been used to solve different natural language processing (NLP) tasks. However, few researches apply graph convolutional networks to short text classification....
Published by: IGI Global Scientific Publishing
In situ characterisation of size distribution and rise velocity of microbubbles by high-speed photography
Bert Swart, Yubin Zhao, Mohammed Khaku, Eric Che, Richard Maltby, Y. M.John Chew, Jannis Wenk
Nov 02, 2020
Using microbubbles has gained significant interest in many domestic and industrial applications due to bubble stability in solution and increased mass transfer area. The characterisation of microbubble populations is...
In situ characterisation of size distribution and rise velocity of microbubbles by high-speed photography
Bert Swart, Yubin Zhao, Mohammed Khaku, Eric Che, Richard Maltby, Y. M.John Chew, Jannis Wenk
Nov 02, 2020
Using microbubbles has gained significant interest in many domestic and industrial applications due to bubble stability in solution and increased mass transfer area. The characterisation of microbubble populations is...
Social Network Public Opinion Analysis Using BERT-BMA in Big Data Environment
The existing social network public opinion analysis methods have problems such as poor semantic expression quality and weak detection ability in short texts. Therefore, a social network public opinion analysis method based on...
Published by: IGI Global Scientific Publishing
E-Commerce Live Streaming Danmaku Classification Through LDA-Enhanced BERT-TextCNN Model
With the increasing popularity of e-commerce live streaming, comprehensive analysis of live barrage text has become increasingly crucial. This study presents a thematic analysis method for categorizing e-commerce live streaming...
Published by: IGI Global Scientific Publishing
Sentiment Analysis of the Consumer Review Text Based on BERT-BiLSTM in a Social Media Environment
Xueli Zhou
Dec 21, 2022
In this paper, a BERT-BiLSTM-based consumer review text sentiment analysis method in the e-commerce big data field is proposed. First, the unlabeled text is trained using the BERT training model for the language introduced in...
Published by: IGI Global Scientific Publishing
A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU
Short text classification is a research focus for natural language processing (NLP), which is widely used in news classification, sentiment analysis, mail filtering and other fields. In recent years, deep learning techniques are...
Published by: IGI Global Scientific Publishing
BERT-BU12 Hate Speech Detection Using Bidirectional Encoder-Decoder
In the recent times transfer learning models have known to exhibited good results in the area of text classification for question-answering, summarization, next word prediction but these learning models have not been extensively...
Published by: IGI Global Scientific Publishing
A Named Entity Recognition Approach for Electronic Medical Records Using BERT Semantic Enhancement and BiLSTM
Aiming at the problems of missing local context features, single word vector representation, and low entity recognition accuracy, a method for e-medical recording with named entity recognition, which is based on BERT and model...
Published by: IGI Global Scientific Publishing
BatteryDataExtractor
Due to the massive growth of scientific publications, literature mining is becoming increasingly popular for researchers to thoroughly explore scientific text and extract such data to create new databases or augment existing...
HBert
With the emergence of a large-scale pre-training model based on the transformer model, the effect of all-natural language processing tasks has been pushed to a new level. However, due to the high complexity of the transformer's...
Published by: IGI Global Scientific Publishing
Sentiment Classification of Social Network Text Based on AT-BiLSTM Model in a Big Data Environment
Jinjun Liu
Dec 21, 2022
To tackle the challenge of ineffective sentiment prediction using current sentiment classification methods, this paper introduces a method social network text sentiment classification. The method leverages a bidirectional short...
Published by: IGI Global Scientific Publishing
Who is worthy of my commitment now?
Purpose: The paper aims to investigate the dynamics of individuals' multiple commitments in the internship context by answering two questions: How do interns' commitment to different stakeholders change over time? And what...
Re-considering boundaries
In the twenty-first century, work activities tend to span organizational boundaries and take place in projects or networks. This cross-boundary working has major implications for current HRM models that are more suited to an...
Measuring the approximate number system in children
Research has demonstrated that children and adults have an Approximate Number System (ANS) which allows individuals to represent and manipulate the representations of the approximate number of items within a set. It has been...
HRM in dynamic environments
The current economic crisis has brought to the fore the need for firms to deal with ambiguity and complexity. Hence, firms need a specific balance between exploration and exploitation in order to keep pace with varying and...
Who is worthy of my commitment now?
Purpose: The paper aims to investigate the dynamics of individuals' multiple commitments in the internship context by answering two questions: How do interns' commitment to different stakeholders change over time? And what...
'They are your testimony'
The relationship between professionals and clients has received considerable interest, more recently through the concept of client capture. However, little is known to date about the mechanisms through which professionals become...
Ambidexterity in projects
We identify the desirability of simultaneously using knowledge assets both to exploit and explore (ambidexterity) and highlight the significance of this for the project context. We use an intellectual capital perspective and...
Engaged and committed? The relationship between work engagement and commitment in Professional Service Firms
Our study explores the relationship between employee engagement and foci-commitment of employees in professional service firms (PSFs). PSFs compete on the basis of their ability to encourage their employees to generate...
Satisfaction with HR practices and commitment to the organisation
This article examines the links between employees' satisfaction with HR practices and their commitment to the organisation. It draws on recently collected data to examine these links for three groups of employees: professionals...
'They are your testimony'
The relationship between professionals and clients has received considerable interest, more recently through the concept of client capture. However, little is known to date about the mechanisms through which professionals become...
Why should I share my knowledge? A multiple foci of commitment perspective
Knowledge-intensive firms need to leverage their individual knowledge assets via knowledge sharing to create collective knowledge resources. This process is, however, in the control of the knowledge worker. We explore this...
Making it happen
The literature on ambidexterity is dominated by theoretical development and does not fully explain how ambidexterity is enacted. There is limited focus on the managerial actions in day-to-day operations
that enable this...
that enable this...
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